Huong, Nice Quan (2010) Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
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Abstract
The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is captured, monitoring the face region and eyes in order to detect drowsy/fatigue. The system able to monitoring eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. It can determine a time proportion of eye closure as the proportion of a time interval that the eye is in the closed position. If the driver’s eyes are closed cumulatively more than a standard value, the system draws the conclusion that the driver is falling asleep, and then it will activate an alarm sound to alert the driver
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010; Dr. Kamarul Hawari bin Ghazali |
| Uncontrolled Keywords: | Image processing; Drowsiness |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Syed Mohd Faiz |
| Date Deposited: | 06 Jan 2012 02:53 |
| Last Modified: | 05 Sep 2023 00:08 |
| URI: | http://umpir.ump.edu.my/id/eprint/1983 |
| Download Statistic: | View Download Statistics |
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